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Axe de recherche en histoire numérique
LARHRA UMR5190

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====== General instructions ======

Read following important documentation about:
  * pandas [[http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe|dataframes]]
  * [[http://matplotlib.org/api/pyplot_summary.html|matplotlib.pyplot]]

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 [[python:generic_features#get_the_current_working_directory_address|current working directory]], then the data files are available under this address '../[data file]', for instantce: '../geyser1.TAB'
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====== Eruptions of the "Old Faithful" geyser (p.5) ======

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===== Histogram (p.5) =====

<code python>
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() 
</code>


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===== Boxplot (p. 6) =====

<code python>
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()
</code>


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===== 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.

<code python>
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()
</code>


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===== Descriptive statistics (p.9) =====

Note: try different examples, e.g. the whole population or only those where 'Duration' <= 3, the whole dataframe

[[http://pandas.pydata.org/pandas-docs/stable/basics.html#descriptive-statistics|doc]] – [[http://www.marsja.se/pandas-python-descriptive-statistics/|example]]

<code python>
import pandas as pd
gysr1 = pd.read_csv('../geyser1.tab', '\t')
gysr1['Duration'][gysr1['Duration'] <= 3].describe()
</code>


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===== Boxplot (p.9) =====

Selecting rows in a dataframe: [[http://pandas.pydata.org/pandas-docs/stable/indexing.html#the-where-method-and-masking|doc]] / [[http://stackoverflow.com/questions/17071871/select-rows-from-a-dataframe-based-on-values-in-a-column-in-pandas|example]]

<code python>
import matplotlib.pyplot as plt
import pandas as pd
gysr1 = pd.read_csv('../geyser1.tab', '\t')
gysr1_inf3 = gysr1.loc[gysr1['Duration'] <= 3]
gysr1_sup3 = gysr1.loc[gysr1['Duration'] > 3]
plt.boxplot([gysr1_inf3['Interval'],gysr1_sup3['Interval']], labels= ['inf3','sup3'])
</code>


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====== International adoption rates (p.13) ======

===== Boxplot (p.14) =====

<code python>
import matplotlib.pyplot as plt
import pandas as pd
adopt_data = pd.read_csv('D:\Python\Libri\A_Casebook_for_a_First_Course_in_Statistics_and_Data_Analysis_Datasets\Data\Tab\\adopt.TAB', '\t')
adopt1 = adopt_data['Visa91']
plt.boxplot(adopt1)
ax = plt.gca()
ax.set_title('Box and Whisker Plot')
ax.set_xlabel('39 cases')
ax.set_ylabel('Number of visas in 1991')
plt.show()
</code>


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===== Histogram (p.14) =====

<code python>
import matplotlib.pyplot as plt
import pandas as pd
adopt_data = pd.read_csv('D:\Python\Libri\A_Casebook_for_a_First_Course_in_Statistics_and_Data_Analysis_Datasets\Data\Tab\\adopt.TAB', '\t')
adopt1 = adopt_data['Visa91']
plt.hist(adopt1)
plt.show()
</code>

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Axe de recherche en histoire numérique
LARHRA UMR5190