Bug in bar plot with log=True raises TypeError if all values are less than 1 (GH9905) • Bug in horizontal bar plot ignores log=True (GH9905) • Bug in PyTables queries that did not return proper results TimedeltaIndex.freqstr now output the same string format as DatetimeIndex. (GH9116) • Bar and horizontal bar plots no longer add a dashed line along the info axis. The prior style can be achieved with Yahoo (GH8761), (GH8783). • Fix: The font size was only set on x axis if vertical or the y axis if horizontal. (GH8765) • Fixed division by 0 when reading big csv files in python 3 (GH8621) • Bug in outputing

3.11. Visualization 581 pandas: powerful Python data analysis toolkit, Release 1.0.0 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 582 Chapter 3. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) Release 1.0.0 Also, you can pass other keywords supported by matplotlib boxplot. For example, horizontal and custom-positioned boxplot can be drawn by vert=False and positions keywords. In [41]: df.plot

Chart Visualization 683 pandas: powerful Python data analysis toolkit, Release 1.4.2 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 684 Chapter 2. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4["a"].plot.hist(orientation="horizontal", cumulative=True); Release 1.4.2 Also, you can pass other keywords supported by matplotlib boxplot. For example, horizontal and custom-positioned boxplot can be drawn by vert=False and positions keywords. In [43]: df.plot

Chart Visualization 683 pandas: powerful Python data analysis toolkit, Release 1.4.4 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 684 Chapter 2. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4["a"].plot.hist(orientation="horizontal", cumulative=True); Release 1.4.4 Also, you can pass other keywords supported by matplotlib boxplot. For example, horizontal and custom-positioned boxplot can be drawn by vert=False and positions keywords. In [43]: df.plot

2.11. Visualization 587 pandas: powerful Python data analysis toolkit, Release 1.0.5 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 588 Chapter 2. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) call last) in ----> 1 df4['a'].plot.hist(orientation='horizontal', cumulative=True) NameError: name 'df4' is not defined 2.11. Visualization 591 pandas: powerful

586 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.0.4 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 2.11. Visualization 587 For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) call last) in ----> 1 df4['a'].plot.hist(orientation='horizontal', cumulative=True) NameError: name 'df4' is not defined 590 Chapter 2. User Guide pandas: powerful

588 Chapter 3. User Guide pandas: powerful Python data analysis toolkit, Release 1.0.3 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 3.11. Visualization 589 For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) call last) in ----> 1 df4['a'].plot.hist(orientation='horizontal', cumulative=True) NameError: name 'df4' is not defined 592 Chapter 3. User Guide pandas: powerful

Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.5.0rc0 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 2.2. Guides 693 pandas: For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4["a"].plot.hist(orientation="horizontal", cumulative=True); Release 1.5.0rc0 Also, you can pass other keywords supported by matplotlib boxplot. For example, horizontal and custom-positioned boxplot can be drawn by vert=False and positions keywords. In [43]: df.plot

2.14. Visualization 595 pandas: powerful Python data analysis toolkit, Release 1.1.1 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 596 Chapter 2. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) call last) in ----> 1 df4['a'].plot.hist(orientation='horizontal', cumulative=True) NameError: name 'df4' is not defined 2.14. Visualization 599 pandas: powerful

2.14. Visualization 595 pandas: powerful Python data analysis toolkit, Release 1.1.0 To get horizontal bar plots, use the barh method: In [23]: df2.plot.barh(stacked=True); 596 Chapter 2. User Guide For example, horizontal and cumulative histograms can be drawn by orientation='horizontal' and cumulative=True. In [29]: plt.figure(); In [30]: df4['a'].plot.hist(orientation='horizontal', cumulative=True) call last) in ----> 1 df4['a'].plot.hist(orientation='horizontal', cumulative=True) NameError: name 'df4' is not defined 2.14. Visualization 599 pandas: powerful