pandas data structures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3006 4.7 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3007 Optimization 2.2. Guides 765 pandas: powerful Python data analysis toolkit, Release 1.5.0rc0 Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[14]: True Note: The option 'mode.sim_interactive' is mostly used for debugging purposes. You can use reset_option() to revert to a setting’s default value In [15]: pd.get_option("display

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2520 4.6 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2522 style.Styler at 0x7f5160a79310> Above we used Styler.apply to pass in each column one at a time. Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[13]: True Note: The option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2662 4.9 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2664 this functionality using just classes but it can be more cumbersome. See item 3) of Optimization Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[13]: True Note: The option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2514 4.6 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2516 style.Styler at 0x7f5ee53322b0> Above we used Styler.apply to pass in each column one at a time. Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[13]: True Note: The option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2834 4.9 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2837 Optimization 756 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.4.2 Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[14]: True Note: The option 'mode.sim_interactive' is mostly used for debugging purposes. You can use reset_option() to revert to a setting’s default value In [15]: pd.get_option("display

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2836 4.9 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2839 Optimization 756 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.4.4 Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[14]: True Note: The option 'mode.sim_interactive' is mostly used for debugging purposes. You can use reset_option() to revert to a setting’s default value In [15]: pd.get_option("display

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2741 4.9 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2744 Optimization 2.16. Table Visualization 751 pandas: powerful Python data analysis toolkit, Release 1.3.3 Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[13]: True Note: The option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that:

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2741 4.9 Debugging C extensions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2744 Optimization 752 Chapter 2. User Guide pandas: powerful Python data analysis toolkit, Release 1.3.4 Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply get_option("mode.sim_interactive") Out[13]: True Note: The option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that:

read_csv where strings like '2E' are treated as valid floats (GH12237) • Bug in building pandas with debugging symbols (GH12123) • Removed millisecond property of DatetimeIndex. This would always raise a ValueError sim_interactive') Out[13]: True Note: that the option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that: style.Styler at 0x10849c390> Above we used Styler.apply to pass in each column one at a time. Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply

read_csv where strings like '2E' are treated as valid floats (GH12237) • Bug in building pandas with debugging symbols (GH12123) • Removed millisecond property of DatetimeIndex. This would always raise a ValueError sim_interactive') Out[13]: True Note: that the option ‘mode.sim_interactive’ is mostly used for debugging purposes. All options also have a default value, and you can use reset_option to do just that: style.Styler at 0x10f9bc4e0> Above we used Styler.apply to pass in each column one at a time. Debugging Tip: If you’re having trouble writing your style function, try just passing it into DataFrame.apply