Answers for "python matplotli"

python matplotlib

from matplotlib import pyplot as plt

# Median Developer Salaries by Age
dev_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]

dev_y = [38496, 42000, 46752, 49320, 53200,
         56000, 62316, 64928, 67317, 68748, 73752]

plt.plot(dev_x, dev_y)
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')
plt.show()

#Basic line graph using python module matplotlib

show graph matplotlib axes

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

df = pd.read_csv("filesc/file1.csv")
df.head()

BBox = ((df.x.min(),   df.x.max(), df.y.min(), df.y.max()))

ruh_m = plt.imread('map.png')

print(BBox)

fig, ax = plt.subplots(figsize = (8,7))
ax.scatter(df.x, df.y, zorder=1, alpha= 0.2, c='b', s=10)
ax.set_title('Plotting Spatial Data on Map')
ax.set_xlim(BBox[0],BBox[1])
ax.set_ylim(BBox[2],BBox[3])
ax.imshow(ruh_m, zorder=0, extent = BBox, aspect= 'equal')
plt.show()

Use matplotlib in python

import matplotlib.pyplot as plt # Import the matplotlib module
from matplotlib import style # Optionally you dont need to use style
style.use('ggplot') # Just for style

x = [10, 20, 30, 40, 50] # Get points to plot on graph

plt.plot(x) # We want to plot x on our graph
plt.show()