I have a Dash application where I am displaying a scatter plot using a pandas dataframe. I’m trying to set things up so that I simply feed different data frame columns to go.Scatter(). This requires adding a column to my data frame with the markers. Since I have different markers based on different conditions I have code like this:
my_data['marker'] = np.where(my_data.hasTimestamp == True, go.Marker(color=has_color, size=5, symbol='square'), np.nan)
The problem is, this is generating an error:
Traceback (most recent call last): File "/usr/local/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2963, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-82-6b19cddf03fe>", line 1, in <module> my_data['marker'] = np.where(my_data.hasTimestamp == True, go.Marker(color=has_color, size=5, symbol='square'), np.nan) ValueError: invalid __array_struct__
I can add other custom objects and dictionaries (instead of the markers) to the data frame using the code above without a problem, but when I add the markers in this way I get the above error. Any ideas on how to get around this?
Thanks in advance.