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python:first_course_statistics

Ceci est une ancienne révision du document !


General instructions

Read following important documentation about:

Save your scripts in a folder inside the data folder, calling the script folder 'my_scripts' or whaterver. If 'my-scripts' is set as your current working directory, then the data files are available under this address '../[data file]', for instantce: '../geyser1.TAB'

Eruptions of the "Old Faithful" geyser (p.5)


Histogram (p.5)

FB: this script works fine ! Do not delete it !

import pandas as pd
import matplotlib.pyplot as plt
gys1 = pd.DataFrame(pd.read_csv('../geyser1.TAB', '\t'))
g_int = gys1['Interval']
ax = plt.gca()
ax.hist(g_int, bins=20, color='r')
ax.set_xlabel('Intereruption time')
ax.set_ylabel('Frequency')
ax.set_title('Histogram')
plt.show() 


Boxplot (p. 6)

import matplotlib.pyplot as plt
import pandas as pd
gysr1_boxplot = pd.read_csv('...\geyser1.TAB', '\t')
data_gysr1 = gysr1_boxplot['Interval']
plt.boxplot(data_gysr1)
ax = plt.gca()
ax.set_xlabel('222 cases')
ax.set_ylabel('Interruption time ( minutes')
ax.set_title('Box and Whisker Plot')
plt.show()


ScatterPlot (p. 7)

AB: Put face- and edgecolor to change both of them. You can also have two different colors for the in- and outside of each dot.

import matplotlib.pyplot as plt
import pandas as pd
geysr1_scatterplot = pd.read_csv('...\geyser1.TAB', '\t')
geysr1_data_Xax = geysr1_scatterplot['Duration']
geysr1_data_Yax = geysr1_scatterplot['Interval']
plt.scatter(geysr1_data_Xax, geysr1_data_Yax, facecolor='y', edgecolor='y')
ax = plt.gca()
ax.set_xlabel('Eruption duration time (minutes)')
ax.set_ylabel('Interuption time (minutes)')
ax.set_title('Scatter Plot of INTERVAL vs DURATION')
plt.show()

International adoption rates (p.13)

python/first_course_statistics.1476356248.txt.gz · Dernière modification: 2016/10/13 12:57 par Beretta, Anna Letizia