Pandas DataFrame ‘plot( )’ Method
Table Of Contents:
- Syntax ‘plot( )’ Method In Pandas.
- Examples ‘plot( )’ Method.
(1) Syntax:
DataFrame.plot(*args, **kwargs)
Description:
Make plots of Series or DataFrame.
Parameters:
data: Series or DataFrame – The object for which the method is called.
x: label or position, default None – Only used if data is a DataFrame.
y: label, position or list of label, positions, default None – Allows plotting of one column versus another. Only used if data is a DataFrame.
kind: str – The kind of plot to produce:
‘line’ : line plot (default)
‘bar’ : vertical bar plot
‘barh’ : horizontal bar plot
‘hist’ : histogram
‘box’ : boxplot
‘kde’ : Kernel Density Estimation plot
‘density’ : same as ‘kde’
‘area’ : area plot
‘pie’ : pie plot
‘scatter’ : scatter plot (DataFrame only)
‘hexbin’ : hexbin plot (DataFrame only)
ax: matplotlib axes object, default None – An axes of the current figure.]
subplots: bool or sequence of iterables, default False.
Whether to group columns into subplots:
False
: No subplots will be usedTrue
: Make separate subplots for each column.sequence of iterables of column labels: Create a subplot for each group of columns. For example [(‘a’, ‘c’), (‘b’, ‘d’)] will create 2 subplots: one with columns ‘a’ and ‘c’, and one with columns ‘b’ and ‘d’. Remaining columns that aren’t specified will be plotted in additional subplots (one per column). .. versionadded:: 1.5.0
sharex : bool, default True if ax is None else False – In case
subplots=True
, share x axis and set some x axis labels to invisible; defaults to True if ax is None otherwise False if an ax is passed in; Be aware, that passing in both an ax andsharex=True
will alter all x axis labels for all axis in a figure.sharey: bool, default False – In case
subplots=True
, share y axis and set some y axis labels to invisible.layout: tuple, optional – (rows, columns) for the layout of subplots.
figsize: a tuple (width, height) in inches – Size of a figure object.
use_index: bool, default True – Use index as ticks for x axis.
title: str or list – Title to use for the plot. If a string is passed, print the string at the top of the figure. If a list is passed and subplots is True, print each item in the list above the corresponding subplot.
grid: bool, default None (matlab style default) – Axis grid lines.
legend: bool or {‘reverse’} – Place legend on axis subplots.
style: list or dict – The matplotlib line style per column.
logx: bool or ‘sym’, default False – Use log scaling or symlog scaling on x axis. .. versionchanged:: 0.25.0
logy: bool or ‘sym’ default False – Use log scaling or symlog scaling on y axis. .. versionchanged:: 0.25.0
loglog: bool or ‘sym’, default False – Use log scaling or symlog scaling on both x and y axes. .. versionchanged:: 0.25.0
xticks: sequence – Values to use for the sticks.
yticks: sequence – Values to use for the yticks.
xlim2-tuple/list – Set the x limits of the current axes.
ylim2-tuple/list – Set the y limits of the current axes.
xlabel: label, optional – Name to use for the xlabel on x-axis. Default uses index name as xlabel, or the x-column name for planar plots.
ylabel: label, optional – Name to use for the ylabel on y-axis. Default will show no ylabel, or the y-column name for planar plots.
- rot: int, default None – Rotation for ticks (xticks for vertical, yticks for horizontal plots).
- fontsize: int, default None- Font size for xticks and yticks.
- colormap: str or matplotlib colormap object, default None – Colormap to select colors from. If string, load colormap with that name from matplotlib.
- colorbar: bool, optional – If True, plot colorbar (only relevant for ‘scatter’ and ‘hexbin’ plots).
- position: float – Specify relative alignments for bar plot layout. From 0 (left/bottom-end) to 1 (right/top-end). Default is 0.5 (center).
- table: bool, Series or DataFrame, default False – If True, draw a table using the data in the DataFrame and the data will be transposed to meet matplotlib’s default layout. If a Series or DataFrame is passed, use passed data to draw a table.
- yerr: DataFrame, Series, array-like, dict and str – See Plotting with Error Bars for detail.
- xerr: DataFrame, Series, array-like, dict and str – Equivalent to yerr.
- stacked: bool, default False – in line and bar plots, and True in area plot
If True, create stacked plot.
secondary_y: bool or sequence, default False – Whether to plot on the secondary y-axis if a list/tuple, which columns to plot on secondary y-axis.
mark_right: bool, default True – When using a secondary_y axis, automatically mark the column labels with “(right)” in the legend.
include_bool: bool, default is False – If True, boolean values can be plotted.
backend: str, default None – Backend to use instead of the backend specified in the option
plotting.backend
. For instance, ‘matplotlib’. Alternatively, to specify theplotting.backend
for the whole session, setpd.options.plotting.backend
.- **kwargs – Options to pass to matplotlib plotting method.
(2) Examples Of plot() Method:
Example-1:
import pandas as pd
student = {'Name':['Subrat','Abhispa','Arpita','Anuradha','Namita'],
'Roll_No':[100,101,102,103,104],
'Subject':['Math','English','Science','History','Commerce'],
'Mark':[95,88,76,73,93]}
student_object = pd.DataFrame(student)
student_object
Output:
# Plotting The DataFrame – Default Is Line Plot
student_object.plot()
Output:
# Plotting The DataFrame – In Bar Plot
student_object.plot(kind='bar')