DataFrame.hist() - ( Pandas DataFrame Basics )

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Syntax

DataFrame.hist(
    column=None,
    by=None,
    grid=True,
    xlabelsize=None,
    xrot=None,
    ylabelsize=None,
    yrot=None,
    ax=None,
    sharex=False,
    sharey=False,
    figsize=None,
    layout=None,
    bins=10,
    **kwargs,
)

Example

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# creating a sample dataframe
df = pd.DataFrame(np.random.randn(1000, 4), columns=['a', 'b', 'c', 'd'])

# plot the histogram
df.hist(bins=20, figsize=(10,10))
plt.show()

Output

The output of the code will be a histogram plot showing the distribution of data in the dataframe.

Explanation

The hist() method of pandas dataframe is used to plot histograms of the data in a dataframe. It helps to visualize the distribution of data in the dataframe and to identify patterns in the data.

This method can be used to plot histograms of individual columns, or multiple histograms of different columns, or a batch of histograms for several columns on a single plot. This method also has various parameters to customize the look and feel of the histogram, such as specifying the number of bins, the size of the figure, the gridlines, and more.

Use

The hist() method is a useful way to visualize the distribution of data in a Pandas dataframe. It can be used to quickly identify patterns and trends in the data, and to determine if there are any outliers or anomalies. It can also be used to compare the distribution of data in different columns or subsets of a dataframe.

Important Points

• The hist() method of pandas dataframe is used to plot histograms of the data in a dataframe.
• It can be used to plot histograms of individual columns, multiple histograms of different columns, or a batch of histograms for several columns on a single plot.
• Various parameters can be used to customize the look and feel of the histogram, such as the number of bins, the size of the figure, the gridlines, and more.

Summary

In conclusion, the hist() method of Pandas dataframe is a useful function to plot histograms of the data in the dataframe. It is used to visualize the distribution of data in the dataframe, identify patterns and trends, and to compare the distribution of data across columns or subsets of a dataframe. This method can be very helpful in understanding the data and making data-driven decisions.