Merge pull request #5599 from y-p/PR_doc_set_max_rows

DOC: limit code snippet output to max_rows=15

Author: y-p

doc/source/10min.rst

@@ -13,6 +13,7 @@
    import pandas as pd
    np.set_printoptions(precision=4, suppress=True)
    options.display.mpl_style='default'
+   options.display.max_rows=15
 
    #### portions of this were borrowed from the
    #### Pandas cheatsheet

doc/source/basics.rst

@@ -9,6 +9,7 @@
    randn = np.random.randn
    np.set_printoptions(precision=4, suppress=True)
    from pandas.compat import lrange
+   options.display.max_rows=15
 
 ==============================
  Essential Basic Functionality

doc/source/comparison_with_r.rst

@@ -1,6 +1,12 @@
 .. currentmodule:: pandas
 .. _compare_with_r:
 
+.. ipython:: python
+   :suppress:
+
+   from pandas import *
+   options.display.max_rows=15
+
 Comparison with R / R libraries
 *******************************
 

doc/source/computation.rst

@@ -13,6 +13,7 @@
    import matplotlib.pyplot as plt
    plt.close('all')
    options.display.mpl_style='default'
+   options.display.max_rows=15
 
 Computational tools
 ===================

doc/source/cookbook.rst

@@ -10,6 +10,7 @@
    import os
    np.random.seed(123456)
    from pandas import *
+   options.display.max_rows=15
    import pandas as pd
    randn = np.random.randn
    randint = np.random.randint

doc/source/dsintro.rst

@@ -1,14 +1,6 @@
 .. currentmodule:: pandas
 .. _dsintro:
 
-************************
-Intro to Data Structures
-************************
-
-We'll start with a quick, non-comprehensive overview of the fundamental data
-structures in pandas to get you started. The fundamental behavior about data
-types, indexing, and axis labeling / alignment apply across all of the
-objects. To get started, import numpy and load pandas into your namespace:
 
 .. ipython:: python
    :suppress:
@@ -18,6 +10,17 @@ objects. To get started, import numpy and load pandas into your namespace:
    randn = np.random.randn
    np.set_printoptions(precision=4, suppress=True)
    set_option('display.precision', 4, 'display.max_columns', 8)
+   options.display.max_rows=15
+
+
+************************
+Intro to Data Structures
+************************
+
+We'll start with a quick, non-comprehensive overview of the fundamental data
+structures in pandas to get you started. The fundamental behavior about data
+types, indexing, and axis labeling / alignment apply across all of the
+objects. To get started, import numpy and load pandas into your namespace:
 
 .. ipython:: python
 

doc/source/enhancingperf.rst

@@ -9,6 +9,7 @@
    import csv
    from pandas import DataFrame
    import pandas as pd
+   pd.options.display.max_rows=15
 
    import numpy as np
    np.random.seed(123456)

doc/source/faq.rst

@@ -12,6 +12,7 @@ Frequently Asked Questions (FAQ)
    import numpy as np
    np.random.seed(123456)
    from pandas import *
+   options.display.max_rows=15
    randn = np.random.randn
    randint = np.random.randint
    np.set_printoptions(precision=4, suppress=True)

doc/source/gotchas.rst

@@ -7,6 +7,7 @@
    import os
    import numpy as np
    from pandas import *
+   options.display.max_rows=15
    randn = np.random.randn
    np.set_printoptions(precision=4, suppress=True)
    from pandas.compat import lrange

doc/source/groupby.rst

@@ -7,6 +7,7 @@
    import numpy as np
    np.random.seed(123456)
    from pandas import *
+   options.display.max_rows=15
    randn = np.random.randn
    np.set_printoptions(precision=4, suppress=True)
    import matplotlib.pyplot as plt