Y Axis Values Out of Order

I am using AlphaVantage API to download data points, which I then convert to a pandas DataFrame.

I want to plot the new DataFrame with a Scatter/Line graph using Plotly. The graphs seems to come out perfect when plotting them in Google Colab, however, I seem to be unable to replicate my results in PyCharm and Jupiter Notebook.

When plotting in either PyCharm and JN, the Y-Axis values are plotted out of order, like the graph is trying to create as straight of a line as possible (see 2nd image and look closely at y-axis).

Here is a simplified example of the code and graphs:

Exact Same code used in both instances

Desired Outcome (Sample from Colab):

Outcome on PyCharm and JN (Current Issue Graph):

See Code:

import requests
import pandas as pd
import plotly.graph_objects as go


# DATA FROM API
response = requests.get(url='https://www.alphavantage.co/query?function=TIME_SERIES_WEEKLY&symbol=IBM&apikey=demo')
response.raise_for_status()
stock_weekly = response.json()['Weekly Time Series']


# CHANGE DATA FORMAT, RENAME COLUMNS AND CONVERT TO DATETIME, FINALLY FLIP TO HAVE DATE IN ASCENDING ORDER
raw_weekly_data = pd.DataFrame(stock_weekly)
weekly_data = raw_weekly_data.T
weekly_data.reset_index(level=0, inplace=True)
weekly_data.rename(columns={
    'index': 'DATE', 
    '1. open': 'OPEN', 
    '2. high': 'HIGH',
    '3. low': 'LOW',
    '4. close': 'CLOSE',
    '5. volume': 'VOLUME'
    }, 
    inplace=True)
weekly_data['DATE'] = pd.to_datetime(weekly_data['DATE'])
weekly_data = weekly_data[::-1]
weekly_data = weekly_data.reset_index(drop=True)


# PLOT
fig = go.Figure()

fig.add_trace(go.Scatter(
    x=weekly_data['DATE'], 
    y=weekly_data['CLOSE']))

fig.show()

I received an answer to my question on plotly and decided to share. I used a combination of both of the following techniques:

The error is due to the data types of your columns in your dataframe. dtypes The values are of type object.

However this was not a problem is previous versions of plotly (which must be installed on your Google Collab). The newer releases requires the values to be numeric.

You can either convert the columns to numeric like this:

#converting to type numeric
cols = weekly_data.columns.drop('DATE')
weekly_data[cols] = weekly_data[cols].apply(pd.to_numeric)

or just add autotypenumbers=‘convert types’ to update your figure:

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=weekly_data['DATE'], 
    y=weekly_data['CLOSE']))

fig.update_layout(autotypenumbers='convert types')

fig.show()