Download Documents HELP!

Dash Python
1

Hi There!!

I’m doing smtg wrong and can’t figure it out by my self! :cry:
The CSV downloads an archive without extension. :frowning:
image

Here is my layout:

                        html.A(
                            html.Button('Export to CSV'),
                            id='download_CSV')

My CSV callback:

@app.callback(
    Output('download_CSV', 'href'),
    [Input('Anillos_tun', 'value'),
    Input('Fecha', 'start_date'),
    Input('Fecha', 'end_date')])
def download_csv(anillo, sdt, edt):
    unique_hash = 'NATMC_'+ anillo +'_'+ sdt +'_'+ edt
    startd=sdt[8:10]+'/'+sdt[5:7]+'/'+sdt[:4]
    endd=edt[8:10]+'/'+edt[5:7]+'/'+edt[:4]
    #Filtering the dataframe
    inst_tunel = df_inst_tunel.copy()
    inst_tunel = inst_tunel[inst_tunel['Anillo']==anillo][['Nome','Instrumento','Angulo']]
    Sensores_dovela = inst_tunel[inst_tunel['Instrumento']=='NATMC']['Nome']
    df_lecturas = pd.concat([lect_tunel['Time'],lect_tunel[Sensores_dovela]], axis=1)
    dfstart = df_lecturas[df_lecturas['Time'].str.contains(startd)]['Time'].iloc[0]
    dfend = df_lecturas[df_lecturas['Time'].str.contains(endd)]['Time'].iloc[-1]
    df_lecturas= df_lecturas[df_lecturas['Time'] >= dfstart]
    df_lecturas= df_lecturas[df_lecturas['Time'] <= dfend]
    #creating  csv from my filtered dataframe
    csv_string = df_lecturas.to_csv(index=False, encoding='utf-8')
    csv_string = "data:text/csv;charset=utf-8," + urllib.parse.quote(csv_string)
    return csv_string

And my last doubt is I’m filtering the data each time I want to download. Any way I could use a dataframe calculated in the middle of another callback?

Thank you so much!

2

Is your problem the downloaded file does not have the .xlsx enxtension or that the file downloaded is 0 bytes in size? If the former, then you need to specify .xlsx in your filename passed to flask.send_file

1 Like
3

Hi there, my problem is that my file downloads as “download” without any extension and it should download as download.csv.

I’m not using a flask.sendfile in this one! So I have no clue how to pass it a name or a path!
Ah and if I rename the downloaded file with a .csv extension I’m able to open it.

4

If you put a print(csv_string) prior to your return, can you post the output to help debug?

5

hi there @flyingcujo!

it returns:

 data:text/csv;charset=utf-8,Time%2CNATMC-TTL-205%2CNATMC-TTL-207%2CNATMC-TTL-209%2CNATMC-TTL-211%2CNATMC-TTL-213%2CNATMC-TTL-215%0D%0A08/08/2019%200%3A00%2C5.8%2C3.4%2C5.9%2C4.0%2C3.0%2C3.3%0D%0A08/08/2019%200%3A10%2C5.8%2C3.6%2C5.5%2C5.4%2C4.7%2C4.5%0D%0A08/08/2019%200%3A20%2C5.0%2C5.0%2C5.2%2C5.1%2C5.6%2C4.7%0D%0A08/08/2019%200%3A30%2C3.3%2C5.3%2C3.1%2C3.7%2C3.6%2C5.8%0D%0A08/08/2019%200%3A40%2C4.7%2C3.5%2C5.2%2C5.9%2C5.9%2C5.8%0D%0A08/08/2019%200%3A50%2C5.7%2C4.7%2C4.1%2C6.0%2C5.2%2C3.5%0D%0A08/08/2019%201%3A00%2C5.8%2C4.8%2C5.6%2C6.0%2C5.5%2C3.5%0D%0A08/08/2019%201%3A10%2C4.8%2C5.9%2C3.5%2C5.2%2C5.5%2C4.5%0D%0A08/08/2019%201%3A20%2C4.3%2C3.8%2C4.7%2C3.9%2C3.4%2C5.9%0D%0A08/08/2019%201%3A30%2C5.7%2C4.8%2C5.0%2C5.4%2C3.5%2C5.5%0D%0A08/08/2019%201%3A40%2C3.5%2C4.9%2C5.0%2C3.1%2C4.6%2C4.4%0D%0A08/08/2019%201%3A50%2C3.1%2C5.7%2C3.1%2C5.5%2C3.7%2C5.3%0D%0A08/08/2019%202%3A00%2C3.5%2C5.7%2C5.1%2C5.3%2C5.5%2C4.9%0D%0A08/08/2019%202%3A10%2C3.4%2C3.1%2C6.0%2C4.5%2C4.7%2C4.0%0D%0A08/08/2019%202%3A20%2C3.5%2C5.5%2C5.7%2C4.9%2C5.1%2C3.7%0D%0A08/08/2019%202%3A30%2C3.8%2C4.7%2C5.3%2C5.3%2C3.1%2C3.1%0D%0A08/08/2019%202%3A40%2C4.9%2C5.1%2C3.8%2C4.4%2C3.5%2C4.9%0D%0A08/08/2019%202%3A50%2C5.1%2C5.2%2C4.7%2C3.9%2C3.2%2C4.2%0D%0A08/08/2019%203%3A00%2C4.3%2C5.6%2C4.2%2C5.0%2C4.9%2C5.9%0D%0A08/08/2019%203%3A10%2C4.4%2C4.4%2C5.2%2C4.6%2C4.3%2C4.2%0D%0A08/08/2019%203%3A20%2C3.7%2C3.3%2C5.5%2C4.3%2C4.2%2C5.2%0D%0A08/08/2019%203%3A30%2C3.2%2C4.5%2C3.8%2C5.0%2C6.0%2C4.9%0D%0A08/08/2019%203%3A40%2C5.0%2C5.8%2C5.3%2C5.3%2C5.9%2C5.2%0D%0A08/08/2019%203%3A50%2C5.7%2C4.9%2C5.8%2C3.6%2C3.1%2C5.4%0D%0A08/08/2019%204%3A00%2C3.9%2C3.4%2C3.6%2C5.9%2C5.0%2C4.9%0D%0A08/08/2019%204%3A10%2C4.4%2C3.3%2C5.1%2C4.5%2C3.6%2C4.1%0D%0A08/08/2019%204%3A20%2C3.9%2C4.7%2C5.4%2C4.3%2C4.5%2C3.7%0D%0A08/08/2019%204%3A30%2C3.1%2C4.2%2C3.9%2C5.6%2C4.2%2C5.5%0D%0A08/08/2019%204%3A40%2C3.4%2C3.6%2C4.6%2C5.1%2C4.0%2C4.1%0D%0A08/08/2019%204%3A50%2C4.5%2C3.4%2C3.7%2C3.7%2C5.8%2C5.6%0D%0A08/08/2019%205%3A00%2C4.9%2C3.1%2C4.5%2C5.1%2C5.0%2C3.8%0D%0A08/08/2019%205%3A10%2C4.5%2C5.4%2C4.1%2C5.7%2C4.1%2C4.4%0D%0A08/08/2019%205%3A20%2C5.6%2C5.8%2C4.8%2C4.4%2C4.0%2C4.9%0D%0A08/08/2019%205%3A30%2C5.2%2C5.1%2C4.9%2C3.6%2C3.0%2C4.8%0D%0A08/08/2019%205%3A40%2C5.3%2C4.2%2C3.2%2C3.7%2C5.6%2C4.5%0D%0A08/08/2019%205%3A50%2C3.6%2C5.7%2C4.9%2C5.0%2C4.4%2C5.1%0D%0A08/08/2019%206%3A00%2C4.1%2C5.9%2C5.4%2C4.7%2C4.8%2C5.4%0D%0A08/08/2019%206%3A10%2C3.3%2C3.0%2C4.5%2C4.7%2C3.6%2C3.1%0D%0A08/08/2019%206%3A20%2C5.0%2C4.6%2C4.8%2C3.1%2C5.1%2C5.1%0D%0A08/08/2019%206%3A30%2C4.8%2C3.3%2C5.1%2C3.9%2C3.6%2C5.8%0D%0A08/08/2019%206%3A40%2C5.1%2C3.2%2C4.0%2C3.7%2C5.3%2C3.0%0D%0A08/08/2019%206%3A50%2C4.3%2C4.0%2C5.3%2C4.5%2C3.2%2C5.2%0D%0A08/08/2019%207%3A00%2C5.0%2C4.6%2C5.2%2C4.7%2C3.6%2C5.2%0D%0A08/08/2019%207%3A10%2C4.8%2C3.9%2C4.4%2C3.2%2C3.3%2C5.4%0D%0A08/08/2019%207%3A20%2C5.0%2C3.1%2C4.9%2C3.5%2C3.2%2C3.8%0D%0A08/08/2019%207%3A30%2C5.2%2C3.5%2C3.5%2C5.1%2C3.7%2C5.6%0D%0A08/08/2019%207%3A40%2C5.2%2C4.6%2C5.6%2C3.9%2C4.8%2C5.0%0D%0A08/08/2019%207%3A50%2C4.6%2C5.3%2C5.9%2C3.7%2C3.6%2C5.8%0D%0A08/08/2019%208%3A00%2C5.8%2C4.7%2C5.6%2C4.5%2C3.6%2C4.3%0D%0A08/08/2019%208%3A10%2C6.0%2C3.1%2C3.9%2C5.8%2C3.8%2C4.1%0D%0A08/08/2019%208%3A20%2C4.3%2C3.8%2C5.9%2C5.9%2C3.6%2C4.8%0D%0A08/08/2019%208%3A30%2C3.4%2C3.9%2C4.6%2C5.5%2C4.3%2C3.7%0D%0A08/08/2019%208%3A40%2C4.2%2C3.8%2C5.5%2C4.6%2C3.2%2C3.3%0D%0A08/08/2019%208%3A50%2C3.1%2C3.7%2C5.1%2C5.0%2C3.3%2C3.7%0D%0A08/08/2019%209%3A00%2C5.0%2C5.0%2C4.8%2C5.1%2C4.2%2C6.0%0D%0A08/08/2019%209%3A10%2C4.0%2C5.0%2C4.3%2C5.2%2C3.0%2C4.3%0D%0A08/08/2019%209%3A20%2C4.2%2C5.9%2C4.2%2C4.8%2C3.0%2C3.4%0D%0A08/08/2019%209%3A30%2C4.4%2C3.7%2C5.5%2C5.5%2C4.3%2C3.1%0D%0A08/08/2019%209%3A40%2C5.1%2C3.7%2C5.1%2C3.0%2C5.6%2C5.0%0D%0A08/08/2019%209%3A50%2C4.2%2C6.0%2C5.0%2C3.4%2C5.5%2C3.7%0D%0A08/08/2019%2010%3A00%2C4.9%2C3.7%2C4.3%2C5.5%2C5.5%2C3.4%0D%0A08/08/2019%2010%3A10%2C6.0%2C3.1%2C6.0%2C4.7%2C4.3%2C3.7%0D%0A08/08/2019%2010%3A20%2C5.8%2C5.9%2C4.2%2C3.9%2C5.8%2C3.4%0D%0A08/08/2019%2010%3A30%2C3.7%2C3.5%2C4.0%2C5.7%2C5.7%2C6.0%0D%0A08/08/2019%2010%3A40%2C3.5%2C5.6%2C4.3%2C4.2%2C3.1%2C4.9%0D%0A08/08/2019%2010%3A50%2C5.1%2C3.3%2C4.5%2C3.5%2C3.5%2C4.6%0D%0A08/08/2019%2011%3A00%2C4.1%2C6.0%2C5.5%2C5.9%2C3.3%2C4.3%0D%0A08/08/2019%2011%3A10%2C4.1%2C3.1%2C3.9%2C3.0%2C3.8%2C3.6%0D%0A08/08/2019%2011%3A20%2C4.3%2C4.9%2C5.9%2C4.5%2C5.8%2C4.8%0D%0A08/08/2019%2011%3A30%2C6.0%2C3.9%2C5.6%2C5.1%2C4.3%2C4.3%0D%0A08/08/2019%2011%3A40%2C3.4%2C5.0%2C5.8%2C3.0%2C5.4%2C4.3%0D%0A08/08/2019%2011%3A50%2C5.5%2C5.4%2C4.1%2C6.0%2C5.6%2C3.5%0D%0A08/08/2019%2012%3A00%2C5.7%2C4.4%2C5.4%2C4.3%2C3.2%2C4.4%0D%0A08/08/2019%2012%3A10%2C3.8%2C3.1%2C3.7%2C4.7%2C3.2%2C3.8%0D%0A08/08/2019%2012%3A20%2C3.2%2C3.8%2C4.8%2C5.3%2C5.5%2C5.7%0D%0A08/08/2019%2012%3A30%2C4.9%2C4.5%2C4.4%2C4.0%2C5.2%2C3.7%0D%0A08/08/2019%2012%3A40%2C5.8%2C3.9%2C4.0%2C5.1%2C5.6%2C4.2%0D%0A08/08/2019%2012%3A50%2C4.4%2C5.9%2C5.5%2C5.5%2C5.8%2C4.3%0D%0A08/08/2019%2013%3A00%2C4.5%2C5.2%2C4.0%2C5.8%2C4.6%2C5.8%0D%0A08/08/2019%2013%3A10%2C3.3%2C4.6%2C4.4%2C3.4%2C3.6%2C5.6%0D%0A08/08/2019%2013%3A20%2C5.3%2C5.8%2C3.5%2C5.8%2C4.7%2C3.3%0D%0A08/08/2019%2013%3A30%2C6.0%2C5.6%2C4.3%2C3.1%2C5.1%2C3.4%0D%0A08/08/2019%2013%3A40%2C3.3%2C5.4%2C3.2%2C4.3%2C3.5%2C4.4%0D%0A08/08/2019%2013%3A50%2C3.4%2C4.1%2C4.6%2C4.4%2C6.0%2C5.6%0D%0A08/08/2019%2014%3A00%2C3.1%2C3.5%2C3.4%2C3.9%2C4.7%2C4.4%0D%0A08/08/2019%2014%3A10%2C4.6%2C3.5%2C3.9%2C4.0%2C3.3%2C5.2%0D%0A08/08/2019%2014%3A20%2C4.4%2C3.1%2C4.6%2C5.4%2C4.2%2C4.4%0D%0A08/08/2019%2014%3A30%2C3.3%2C4.5%2C3.7%2C5.1%2C3.4%2C3.8%0D%0A08/08/2019%2014%3A40%2C6.0%2C5.1%2C5.8%2C3.6%2C5.2%2C3.2%0D%0A08/08/2019%2014%3A50%2C5.5%2C4.5%2C5.7%2C5.8%2C4.5%2C4.1%0D%0A08/08/2019%2015%3A00%2C4.5%2C3.5%2C4.4%2C6.0%2C4.2%2C4.7%0D%0A08/08/2019%2015%3A10%2C3.0%2C3.9%2C3.0%2C3.2%2C3.2%2C5.2%0D%0A08/08/2019%2015%3A20%2C5.9%2C5.0%2C5.7%2C3.7%2C5.3%2C4.7%0D%0A08/08/2019%2015%3A30%2C3.8%2C4.1%2C3.1%2C3.8%2C4.2%2C5.4%0D%0A08/08/2019%2015%3A40%2C3.1%2C4.2%2C4.3%2C5.8%2C3.3%2C4.4%0D%0A08/08/2019%2015%3A50%2C3.1%2C4.6%2C3.8%2C3.2%2C3.8%2C5.0%0D%0A08/08/2019%2016%3A00%2C3.8%2C4.7%2C3.0%2C5.2%2C5.3%2C4.8%0D%0A08/08/2019%2016%3A10%2C3.2%2C5.9%2C3.0%2C4.3%2C3.7%2C5.8%0D%0A08/08/2019%2016%3A20%2C3.8%2C4.1%2C4.9%2C5.4%2C4.8%2C4.6%0D%0A08/08/2019%2016%3A30%2C5.4%2C4.8%2C3.0%2C5.0%2C4.1%2C5.6%0D%0A08/08/2019%2016%3A40%2C4.0%2C6.0%2C4.3%2C3.9%2C4.2%2C3.8%0D%0A08/08/2019%2016%3A50%2C4.5%2C4.1%2C3.6%2C5.9%2C4.5%2C6.0%0D%0A08/08/2019%2017%3A00%2C5.6%2C4.3%2C4.8%2C5.0%2C5.8%2C4.4%0D%0A08/08/2019%2017%3A10%2C4.3%2C4.4%2C5.2%2C4.0%2C4.3%2C4.1%0D%0A08/08/2019%2017%3A20%2C4.6%2C4.4%2C3.8%2C5.5%2C5.0%2C5.0%0D%0A08/08/2019%2017%3A30%2C5.8%2C5.1%2C5.2%2C4.1%2C4.4%2C4.1%0D%0A08/08/2019%2017%3A40%2C3.8%2C5.6%2C3.6%2C3.3%2C3.3%2C5.1%0D%0A08/08/2019%2017%3A50%2C5.2%2C5.5%2C5.0%2C4.8%2C4.5%2C5.0%0D%0A08/08/2019%2018%3A00%2C5.8%2C3.3%2C5.3%2C3.8%2C5.8%2C5.0%0D%0A08/08/2019%2018%3A10%2C4.6%2C4.1%2C5.7%2C3.2%2C3.1%2C5.2%0D%0A08/08/2019%2018%3A20%2C3.3%2C5.9%2C6.0%2C4.4%2C4.1%2C4.7%0D%0A08/08/2019%2018%3A30%2C5.6%2C5.6%2C5.0%2C3.8%2C3.9%2C4.7%0D%0A08/08/2019%2018%3A40%2C4.8%2C4.5%2C5.3%2C6.0%2C4.3%2C4.0%0D%0A08/08/2019%2018%3A50%2C5.3%2C3.8%2C4.4%2C3.2%2C3.9%2C5.9%0D%0A08/08/2019%2019%3A00%2C5.8%2C5.0%2C4.6%2C4.8%2C4.8%2C5.4%0D%0A08/08/2019%2019%3A10%2C5.2%2C3.0%2C3.7%2C5.8%2C4.9%2C4.1%0D%0A08/08/2019%2019%3A20%2C3.2%2C4.3%2C3.7%2C5.3%2C5.6%2C3.9%0D%0A08/08/2019%2019%3A30%2C4.2%2C5.3%2C5.4%2C4.9%2C4.7%2C5.8%0D%0A08/08/2019%2019%3A40%2C5.6%2C3.6%2C4.7%2C5.2%2C5.2%2C4.6%0D%0A08/08/2019%2019%3A50%2C4.7%2C4.7%2C3.6%2C4.5%2C5.3%2C5.4%0D%0A08/08/2019%2020%3A00%2C3.6%2C5.1%2C3.5%2C4.7%2C3.1%2C4.3%0D%0A08/08/2019%2020%3A10%2C5.4%2C5.5%2C5.7%2C4.4%2C5.1%2C3.4%0D%0A08/08/2019%2020%3A20%2C4.0%2C4.3%2C3.8%2C4.6%2C4.1%2C5.5%0D%0A08/08/2019%2020%3A30%2C3.1%2C5.4%2C3.9%2C4.0%2C3.3%2C3.7%0D%0A08/08/2019%2020%3A40%2C4.9%2C3.2%2C3.7%2C4.3%2C3.8%2C3.8%0D%0A08/08/2019%2020%3A50%2C4.2%2C3.8%2C5.6%2C6.0%2C3.4%2C4.8%0D%0A08/08/2019%2021%3A00%2C4.9%2C5.7%2C5.8%2C3.4%2C3.7%2C4.9%0D%0A08/08/2019%2021%3A10%2C4.3%2C4.3%2C5.6%2C3.6%2C3.7%2C4.4%0D%0A08/08/2019%2021%3A20%2C5.2%2C4.6%2C4.2%2C5.9%2C3.0%2C3.2%0D%0A08/08/2019%2021%3A30%2C4.9%2C4.7%2C5.8%2C5.7%2C4.0%2C5.4%0D%0A08/08/2019%2021%3A40%2C3.0%2C4.0%2C5.5%2C4.9%2C4.0%2C3.8%0D%0A08/08/2019%2021%3A50%2C3.1%2C4.9%2C4.8%2C3.5%2C5.7%2C3.4%0D%0A08/08/2019%2022%3A00%2C3.9%2C5.4%2C3.3%2C4.0%2C3.8%2C5.3%0D%0A08/08/2019%2022%3A10%2C5.1%2C4.5%2C4.3%2C3.9%2C5.1%2C5.9%0D%0A08/08/2019%2022%3A20%2C4.3%2C4.2%2C3.5%2C4.9%2C3.1%2C4.2%0D%0A08/08/2019%2022%3A30%2C3.2%2C3.7%2C5.4%2C4.3%2C3.5%2C3.7%0D%0A08/08/2019%2022%3A40%2C3.3%2C4.9%2C3.3%2C3.0%2C3.4%2C6.0%0D%0A08/08/2019%2022%3A50%2C4.3%2C5.6%2C3.8%2C5.2%2C4.3%2C3.0%0D%0A08/08/2019%2023%3A00%2C4.5%2C5.6%2C5.3%2C5.9%2C3.1%2C4.5%0D%0A08/08/2019%2023%3A10%2C3.4%2C5.2%2C4.5%2C6.0%2C3.4%2C4.6%0D%0A08/08/2019%2023%3A20%2C3.2%2C5.4%2C5.3%2C3.5%2C3.0%2C5.0%0D%0A08/08/2019%2023%3A30%2C4.8%2C4.5%2C4.0%2C5.2%2C5.3%2C5.6%0D%0A08/08/2019%2023%3A40%2C5.7%2C3.5%2C5.7%2C4.4%2C5.7%2C4.4%0D%0A08/08/2019%2023%3A50%2C3.7%2C3.1%2C4.1%2C3.4%2C4.3%2C4.4%0D%0A09/08/2019%200%3A00%2C5.8%2C5.9%2C5.0%2C4.4%2C5.2%2C4.1%0D%0A09/08/2019%200%3A10%2C5.2%2C4.7%2C6.0%2C5.2%2C4.1%2C4.9%0D%0A09/08/2019%200%3A20%2C3.2%2C4.9%2C4.9%2C5.6%2C3.3%2C4.0%0D%0A09/08/2019%200%3A30%2C3.2%2C3.9%2C5.7%2C5.2%2C3.9%2C6.0%0D%0A09/08/2019%200%3A40%2C4.1%2C3.5%2C4.4%2C3.5%2C3.5%2C6.0%0D%0A09/08/2019%200%3A50%2C3.5%2C5.9%2C5.9%2C3.1%2C4.1%2C5.3%0D%0A09/08/2019%201%3A00%2C5.3%2C5.0%2C4.3%2C4.7%2C3.3%2C4.8%0D%0A09/08/2019%201%3A10%2C5.2%2C4.0%2C4.8%2C5.8%2C4.6%2C5.7%0D%0A09/08/2019%201%3A20%2C5.8%2C5.7%2C5.8%2C5.0%2C5.7%2C5.4%0D%0A09/08/2019%201%3A30%2C5.5%2C5.0%2C6.0%2C5.2%2C6.0%2C4.2%0D%0A09/08/2019%201%3A40%2C5.3%2C6.0%2C4.1%2C5.7%2C3.8%2C3.8%0D%0A09/08/2019%201%3A50%2C5.8%2C4.2%2C3.0%2C3.3%2C4.9%2C3.9%0D%0A09/08/2019%202%3A00%2C3.8%2C4.0%2C3.5%2C6.0%2C4.2%2C4.4%0D%0A09/08/2019%202%3A10%2C5.2%2C3.9%2C4.8%2C4.6%2C4.7%2C4.9%0D%0A09/08/2019%202%3A20%2C3.3%2C3.2%2C5.7%2C5.3%2C3.8%2C3.9%0D%0A09/08/2019%202%3A30%2C5.6%2C3.5%2C4.1%2C6.0%2C4.3%2C4.3%0D%0A09/08/2019%202%3A40%2C3.8%2C3.1%2C4.7%2C5.6%2C3.5%2C5.8%0D%0A09/08/2019%202%3A50%2C5.0%2C3.2%2C4.0%2C4.7%2C3.5%2C3.9%0D%0A09/08/2019%203%3A00%2C3.3%2C3.4%2C4.9%2C3.6%2C5.7%2C3.2%0D%0A09/08/2019%203%3A10%2C5.1%2C5.2%2C3.4%2C5.6%2C3.9%2C3.5%0D%0A09/08/2019%203%3A20%2C4.3%2C3.5%2C3.7%2C4.4%2C4.3%2C3.1%0D%0A09/08/2019%203%3A30%2C4.9%2C3.7%2C3.7%2C5.1%2C5.8%2C3.9%0D%0A09/08/2019%203%3A40%2C4.5%2C4.1%2C3.8%2C5.7%2C4.9%2C5.3%0D%0A09/08/2019%203%3A50%2C4.2%2C5.6%2C3.2%2C5.6%2C3.4%2C4.3%0D%0A09/08/2019%204%3A00%2C5.7%2C3.8%2C5.8%2C3.8%2C3.5%2C3.2%0D%0A09/08/2019%204%3A10%2C3.9%2C5.5%2C5.1%2C5.9%2C5.8%2C5.3%0D%0A09/08/2019%204%3A20%2C6.0%2C6.0%2C3.8%2C4.9%2C4.0%2C3.8%0D%0A09/08/2019%204%3A30%2C5.5%2C3.2%2C6.0%2C3.1%2C4.6%2C4.3%0D%0A09/08/2019%204%3A40%2C5.6%2C4.9%2C3.7%2C3.8%2C3.9%2C4.4%0D%0A09/08/2019%204%3A50%2C3.6%2C3.3%2C4.0%2C5.3%2C5.3%2C5.0%0D%0A09/08/2019%205%3A00%2C4.9%2C5.9%2C4.3%2C3.4%2C4.8%2C3.1%0D%0A09/08/2019%205%3A10%2C4.8%2C5.3%2C4.0%2C4.7%2C3.3%2C5.6%0D%0A09/08/2019%205%3A20%2C3.1%2C4.3%2C3.5%2C3.2%2C5.3%2C4.9%0D%0A

I cut a part of the end of the text…but was only data! Anything wrong with the begin of it?

6

Referencing https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.to_csv.html, it appears you can add the filename in your df.to_csv call.

csv_string = df_lecturas.to_csv('yourfilename.csv', index=False, encoding='utf-8')
1 Like
7

Thank you so much! :slight_smile: It works perfectly…

1 Like