When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

When working with tabular data, such as data stored in spreadsheets or databases, pandas is the right tool for you. pandas will help you to explore, clean, and process your data. In pandas, a data table is the broader goal of becoming the most powerful and flexible open source data analysis/manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 494 9.4.2 Missing data / operations with fill values . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 9.4.3 Flexible Comparisons . the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 492 9.4.2 Missing data / operations with fill values . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495 9.4.3 Flexible Comparisons . the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

. . . . . . . . . . . . . . . . . . . . . . . . . . . . 520 9.4.2 Missing data / operations with fill values . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523 9.4.3 Flexible Comparisons . the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. pandas is well suited results of the analysis into a form suitable for plotting or tabular display. pandas is the ideal tool for all of these tasks. Some other notes • pandas is fast. Many of the low-level algorithmic bits

Added encoding argument to DataFrame.to_html() for non-ascii text (GH28663) • Styler.background_gradient() now accepts vmin and vmax arguments (GH12145) • Styler.format() added the na_rep parameter to PeriodIndex.shift(), use “periods” instead (GH22458) • Removed the previously deprecated keywords “how”, “fill_method”, and “limit” from DataFrame. resample() (GH30139) • Passing an integer to Series.fillna() • Removed Series.get_dtype_counts and DataFrame.get_dtype_counts (GH27145) • Changed the default “fill_value” argument in Categorical.take() from True to False (GH20841) • Changed the default value for