Why is it that only the graphs are not showing, everything else in the program is executing without error. Please help

📊 Plotly Python
1 
import pandas as pd
import numpy as np
import datetime as dt
import yfinance as yf
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
import plotly.graph_objects as go # Import plotly.graph_objects for using go.Figure

com_tckr=input(“State the Ticker of the company you want to analyse:”)
st_dt=input(“Enter the starting date:”)
end_dt=input(“Enter the end date:”)
com_df=yf.download(com_tckr, start=st_dt, end=end_dt, actions=True)
#checking for null or NaN values
num_null=com_df.isnull().sum()
print(“The number of null or missing values in the downloaded data:”,num_null)
#Calculate % daily returns
com_df[‘DailyReturns’]=(com_df[‘Close’].pct_change(1)*100).round(2)
com_df[‘DailyReturns’].replace(np.nan,0,inplace=True)
print(com_df)
print()
#Calculate and print the maximum %daily return for the company
print(com_df.describe().round(2))

def plot_financial_data(df, title):
fig=go.Figure() # Create a Figure object using go.Figure

   financial_columns = ['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume']
  
  financial_columns = [col for col in financial_columns if col in df.columns]

  for col in financial_columns: 
    fig.add_trace(go.Scatter(x=df.index, y=df[col], mode='lines', name=col)) 
    fig.update_traces(line_width=2) 
  fig.update_layout(title=title, xaxis_title="Date",  yaxis_title="Value", plot_bgcolor="white" )
  fig.show()

option=input("Do you want graphical representation(y/n)?")
if(option=='y'):
  plot_financial_data(com_df, 'Financial Data')
2

Hey @Rituparna_Duttagupta welcome to the forums.

Must be related to your data. Working example:

import pandas as pd
import plotly.graph_objects as go
from plotly import data

# dummy data
df = data.stocks()

def plot_financial_data(df, title):
    fig=go.Figure() # Create a Figure object using go.Figure
    financial_columns = ['GOOG', 'High', 'FB', 'Close', 'Adj Close', 'Volume']
    financial_columns = [col for col in financial_columns if col in df.columns]

    for col in financial_columns: 
        fig.add_trace(go.Scatter(x=df.index, y=df[col], mode='lines', name=col)) 
    
    fig.update_traces(line_width=2) 
    fig.update_layout(title=title, xaxis_title="Date",  yaxis_title="Value", plot_bgcolor="white" )
    fig.show()

# usage
plot_financial_data(df, 'Financial Data')

newplot
newplot648×525 29.5 KB

3

Okay. But I tried with AAPL, TSLA and JPM. Can it be that the problem is in the downloaded data?

4

Not sure what you are referring to. But it is definitely not related to plotly or the function you use.

I recommend inspecting the downloaded data.