Come tracciare più linee in matplotlib

Puoi visualizzare più righe in un singolo grafico Matplotlib utilizzando la seguente sintassi:

 import matplotlib. pyplot as plt

plt. plot (df[' column1 '])
plt. plot (df[' column2 '])
plt. plot (df[' column3 '])

...
plt. show ()

Questo tutorial fornisce diversi esempi su come tracciare più linee in un grafico utilizzando il seguente DataFrame panda:

 import numpy as np 
import pandas as pd

#make this example reproducible
n.p. random . seeds (0)

#create dataset
period = np. arange (1, 101, 1)
leads = np. random . uniform (1, 50, 100)
prospects = np. random . uniform (40, 80, 100)
sales = 60 + 2*period + np. random . normal (loc=0, scale=.5*period, size=100)
df = pd. DataFrame ({' period ': period, 
                   ' leads ': leads,
                   ' prospects ': prospects,
                   ' sales ': sales})

#view first 10 rows
df. head (10)


        period leads sales prospects
0 1 27.891862 67.112661 62.563318
1 2 36.044279 50.800319 62.920068
2 3 30.535405 69.407761 64.278797
3 4 27.699276 78.487542 67.124360
4 5 21.759085 49.950126 68.754919
5 6 32.648812 63.046293 77.788596
6 7 22.441773 63.681677 77.322973
7 8 44.696877 62.890076 76.350205
8 9 48.219475 48.923265 72.485540
9 10 19.788634 78.109960 84.221815

Traccia più righe in Matplotlib

Il codice seguente mostra come tracciare tre singole linee in un unico grafico in matplotlib:

 import matplotlib. pyplot as plt

#plot individual lines
plt. plot (df[' leads '])
plt. plot (df[' prospects '])
plt. plot (df[' sales '])

#displayplot
plt. show ()

Personalizza le linee in Matplotlib

Puoi anche personalizzare il colore, lo stile e la larghezza di ciascuna linea:

 #plot individual lines with custom colors, styles, and widths
plt. plot (df[' leads '], color=' green ')
plt. plot (df[' prospects '], color=' steelblue ', linewidth= 4 )
plt. plot (df[' sales '], color=' purple ', linestyle=' dashed ')

#displayplot
plt. show () 

Aggiungi una legenda in Matplotlib

Puoi anche aggiungere una didascalia per distinguere le righe:

 #plot individual lines with custom colors, styles, and widths
plt. plot (df[' leads '], label=' Leads ', color=' green ')
plt. plot (df[' prospects '], label=' Prospects ', color=' steelblue ', linewidth= 4 )
plt. plot (df[' sales '], label=' Sales ', color=' purple ', linestyle=' dashed ')

#add legend
plt. legend ()

#displayplot
plt. show () 

Aggiungi etichette e titoli degli assi in Matplotlib

Infine, puoi aggiungere etichette sugli assi e un titolo per completare la trama:

 #plot individual lines with custom colors, styles, and widths
plt. plot (df[' leads '], label=' Leads ', color=' green ')
plt. plot (df[' prospects '], label=' Prospects ', color=' steelblue ', linewidth= 4 )
plt. plot (df[' sales '], label=' Sales ', color=' purple ', linestyle=' dashed ')

#add legend
plt. legend ()

#add axis labels and a title
plt. ylabel (' Sales ', fontsize= 14 )
plt. xlabel (' Period ', fontsize= 14 )
plt. title (' Company Metrics ', fontsize= 16 )

#displayplot
plt. show () 

Puoi trovare altri tutorial su Matplotlib qui .