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Dependent library
 1# -*- coding: UTF-8 -*-
 2
 3"4DataFrame drawing 5" "
 6# pandas Data extraction extension library
 7
 8import pandas as pd
 9
10# Numpy Scientific computing library
11
12import numpy as np
13
14# matplotlib Data visualization library
15
16import matplotlib.pyplot as plt
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DataFrame. The plot () function
 1''' 2DataFrame.plot(x=None, y=None, kind='line', ax=None, subplots=False, 3 sharex=None, sharey=False, layout=None,figsize=None, 4 use_index=True, title=None, grid=None, legend=True, 5 style=None, logx=False, logy=False, loglog=False, 6 xticks=None, yticks=None, xlim=None, ylim=None, rot=None, 7 xerr=None,secondary_y=False, sort_columns=False, **kwds) 8'''
 9
10# datafame.plot () function parameter configuration:
11# x: Horizontal marking position, default to None
12# y: Indicates the vertical position. Default is None
13# kind argument: Draw type (string)
14# 'kind=line' : line pattern
15# 'Kind =bar' : vertical bar pattern
16# 'Kind =barh' : Horizontal bar pattern
17# 'kind=hist' : bar pattern
18# 'kind=box' : box-plot mode
19# 'kind= kDE' : Density estimation graph mode
20# 'kind=area' : area map mode
21# 'kind=pie' : pie pattern
22# 'Kind = Scatter' : Scatter pattern
23# 'kind=hexbin' : Hive diagram mode
24
25# ax: subplot (if not set, use the current matplotlib subplot**)
26
27# subplots: any subplots in the plot. Default is False
28
29# sharex: Defaults to True if ax is None, False otherwise
30
31# sharey: defaults to False if there is a subgraph, the subgraph shares the y-scale label
32
33# layout: Row and column layout of a subgraph
34
35# figsize: Size of the image
36
37# use_index: defaults to False and uses the index as the X-axis
38
39# title: The title of the image is a string
40
41# grid: Defaults to None, whether the image has a grid
42
43# legend: indicates a sublegend. The default value is True
44
45# style: Set the line type for each column line chart
46
47# logx: Defaults to False and sets whether the X-axis scale is logarithmic
48
49# loglog: Defaults to False, and sets whether the x and y scales are logarithmic
50
51# xticks: set the xticks
52
53# yticks: set the yticks
54
55# xlim: Sets the range of the axes
56
57# ylim: Sets the range of the axes
58
59# rot: Defaults to None, setting the rotation degree of the axis TAB
60
61# fontsize: defaults to None, sets the fontsize for the axis scale
62
63# colormap: Defaults to None, setting the region color of the graph
64
65# colorbar: Picture column
66
67# position: the value ranges from 0 to 1. The default value is 0.5 to indicate middle alignment
68
69# layout: A few rows and columns
70
71# table: Defaults to False, selects DataFrame data and transforms to match the layout of Matplotlib
72
73# yerr : DataFrame, Series, array-like, dict and str
74
75# xerr : same types as yerr.
76
77# stacked : boolean, default False in line and
78
79# sort_columns: Defaults to False to sort column names in front order
80
81# secondary_y: Default False, whether to set the second Y axis
82
83# mark_right: The label on the Y-axis when the second Y-axis is used, which defaults to True
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Constructing raw data
 1Define raw data 3 ""
 4# np.random. Randn generates a matrix with 4 rows and 4 columns
 5
 6# columns attribute
 7
 8# index index
 9
10df = pd.DataFrame(np.random.randn(4.4),columns = ['a'.'b'.'c'.'d'],index=['2021-03-20'.'2021-03-21'.'2021-03-22'.'2021-03-23'])
11
12print(df)
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Draw a line chart
 12 Line chart 3 ""
 4# graph (default line graph)
 5
 6# Set Chinese
 7
 8plt.rcParams['font.sans-serif'] = ['SimHei']
 9
10The negative sign of the coordinate axis is not displayed properly and cannot display Chinese properly
11
12plt.rcParams['axes.unicode_minus'] =False
13
14df.plot(kind='line',color='b',title='Data change')
15
16plt.show()
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Draw bar charts
 1Bar chart 3"
 4# Draw (bar chart mode)
 5
 6# fontsize fontsize
 7
 8# legend Example of a subgraph
 9
10# figsize Indicates the size of the legend
11
12df.plot(kind='bar', title ="", figsize=(8.5), legend=True, fontsize=12)
13
14plt.show()
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