Différences

Ci-dessous, les différences entre deux révisions de la page.

--- python:first_course_statistics [2016/11/29 12:58] – alberetta
+++ python:first_course_statistics [2017/09/26 08:54] (Version actuelle) – [General instructions] fberetta
@@ Ligne 5: / Ligne 5: @@
   * pandas [[http://pandas.pydata.org/pandas-docs/stable/dsintro.html#dataframe|dataframes]]
   * [[http://matplotlib.org/api/pyplot_summary.html|matplotlib.pyplot]]
+Get the data from [[http://people.stern.nyu.edu/jsimonof/Casebook/Data/ASCII/README.html|this site]].
 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'
@@ Ligne 35: / Ligne 39: @@
 import matplotlib.pyplot as plt
 import pandas as pd
-gysr1_boxplot = pd.read_csv('...\geyser1.TAB', '\t')
+gysr1_boxplot = pd.read_csv('.../geyser1.TAB', '\t')
 data_gysr1 = gysr1_boxplot['Interval']
 plt.boxplot(data_gysr1)
@@ Ligne 55: / Ligne 59: @@
 import matplotlib.pyplot as plt
 import pandas as pd
-geysr1_scatterplot = pd.read_csv('...\geyser1.TAB', '\t')
+geysr1_scatterplot = pd.read_csv('.../geyser1.TAB', '\t')
 geysr1_data_Xax = geysr1_scatterplot['Duration']
 geysr1_data_Yax = geysr1_scatterplot['Interval']
@@ Ligne 290: / Ligne 294: @@
+===== Productivity versus quality in the assembly plant (p.29) =====
+It worked the first time but now it doesn't work again. Maybe again a windows error?
+<code python>
+#1
+import matplotlib.pyplot as plt
+import pandas as pd
+data_comparison = pd.read_csv('D:\Python\Libri\A_Casebook_for_a_First_Course_in_Statistics_and_Data_Analysis_Datasets\Data\Tab\prdq.TAB', '\t')
+non_japanese = data_comparison.loc[data_comparison['QualNonJ']]
+japanese = data_comparison.loc[data_comparison['QualJapn']]
+plt.boxplot([non_japanese['Quality'],japanese['Quality']], labels= ['Non-japanese','Japanese'])
+plt.show()
+#2
+import matplotlib.pyplot as plt
+import pandas as pd
+data_comparison = pd.read_csv('D:\Python\Libri\A_Casebook_for_a_First_Course_in_Statistics_and_Data_Analysis_Datasets\Data\Tab\prdq.TAB', '\t')
+non_japanese = data_comparison.loc[data_comparison['ProdNonJ']]
+japanese = data_comparison.loc[data_comparison['ProdJapn']]
+plt.boxplot([non_japanese['Producti'],japanese['Producti']], labels= ['Non-japanese','Japanese'])
+plt.show()
+</code>