I am using streamlit for visuals: Is that possible to get rid of extreme left side and extreme bottom numbers? (0-400 & 0-600 on bottom)

[mraguth]

[gventuri]

@mraguth can you provide more info about the version used etc? Also, could you upload the logs? This seems to me a old bug we faced in the past! Are you using plotly to plot the charts?

[mraguth]

I am using pandasai 1.3 version. I am getting the same error for any plots or if I ask Pandasai to plot a bar graph.

This is one of the log:
2023-11-26 02:34:01 [INFO] Code generated:

# TODO import all the dependencies required
import pandas as pd
import matplotlib.pyplot as plt

def analyze_data(dfs: list[pd.DataFrame]) -> dict:
    """
    Analyze the data
    1. Prepare: Preprocessing and cleaning data if necessary
    2. Process: Manipulating data for analysis (grouping, filtering, aggregating, etc.)
    3. Analyze: Conducting the actual analysis (if the user asks to plot a chart save it to an image in temp_chart.png and do not show the chart.)
    At the end, return a dictionary of:
    - type (possible values "string", "number", "dataframe", "plot")
    - value (can be a string, a dataframe or the path of the plot, NOT a dictionary)
    Examples: 
        { "type": "string", "value": "The highest salary is $9,000." }
        or
        { "type": "number", "value": 125 }
        or
        { "type": "dataframe", "value": pd.DataFrame({...}) }
        or
        { "type": "plot", "value": "temp_chart.png" }
    """
    # Prepare: Preprocessing and cleaning data if necessary
    df = dfs[0].copy()
    df['Start_Date'] = pd.to_datetime(df['Start_Date'])
    df['BV_Status_S'] = df['BV_Status_S'].fillna('Not_Success')
    
    # Process: Manipulating data for analysis
    df = df[df['Start_Date'].dt.year == 2021]  # Limit data for the year 2021
    df['YearMonth'] = df['Start_Date'].dt.to_period('M')  # Create a new column for Year-Month
    
    # Analyze: Conducting the actual analysis
    plot_data = df[df['BV_Status_S'] == 'Success'].groupby('YearMonth').size()  # Count number of patients with BV_Status_S as Success by Year-Month
    
    # Plot the bar graph
    plt.figure(figsize=(10, 6))
    plot_data.plot(kind='bar')
    plt.xlabel('Year-Month')
    plt.ylabel('Number of Patients')
    plt.title('Number of Patients with BV_Status_S = Success in 2021')
    plt.savefig('temp_chart.png')
    plt.close()
    
    # Return the path of the plot
    return {"type": "plot", "value": "temp_chart.png"}

[mraguth]

BTW, I am using AzureAPI. I am ok to use the specific prompt to avoid those sidelines/numbers. Thank you.