alignment. Default is center (different from matplotlib). In previous versions, pandas passes align=’edge’ to matplotlib and adjust the location to center by itself, and it results align keyword is not applied Improved network test decorator to catch IOError (and therefore URLError as well). Added with_connectivity_check decorator to allow explicitly checking a website as a proxy for seeing if there is network connectivity strategies Note: Given that hierarchical indexing is so new to the library, it is definitely “bleeding-edge” functionality but is certainly suitable for production. But, there may inevitably be some minor API

In [38]: t.components.seconds Out[38]: 12L Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame

with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame Bug in multi-index slicing with missing indexers (GH7866) • Bug in multi-index slicing with various edge cases (GH8132) • Regression in multi-index indexing with a non-scalar type object (GH7914) • Bug

hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame Bug in multi-index slicing with missing indexers (GH7866) • Bug in multi-index slicing with various edge cases (GH8132) • Regression in multi-index indexing with a non-scalar type object (GH7914) • Bug alignment. Default is center (different from matplotlib). In previous versions, pandas passes align=’edge’ to matplotlib and adjust the location to center by itself, and it results align keyword is not applied

Improved network test decorator to catch IOError (and therefore URLError as well). Added with_connectivity_check decorator to allow explicitly checking a website as a proxy for seeing if there is network connectivity strategies Note: Given that hierarchical indexing is so new to the library, it is definitely “bleeding-edge” functionality but is certainly suitable for production. But, there may inevitably be some minor API 057945 2000-01-10 -0.199326 Freq: D, dtype: float64 By default the labels are set to the right edge of the window, but a center keyword is available so the labels can be set at the center. This keyword

nanoseconds=0) In [38]: t.components.seconds Out[38]: 12 Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame

nanoseconds=0) In [38]: t.components.seconds Out[38]: 12 Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame

\\\\\\\\\\\\\\\\\\\\Out[38]: ˓→12 1.15.2.2 Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame

\\\\\\\\\\\\\\\\\\\\Out[38]: ˓→12 1.13.2.2 Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame

\\\\\\\\\\\\\\\\\\\\Out[38]: ˓→12 1.12.2.2 Indexing Changes The behavior of a small sub-set of edge cases for using .loc have changed (GH8613). Furthermore we have improved the content of the error with None or incompatible timezone), will now return TypeError rather than ValueError (a couple of edge cases only), (GH8865) • Bug in using a pd.Grouper(key=...) with no level/axis or level only (GH8795 hard-coded approach. All countries will work now, but some bad countries will raise exceptions because some edge cases break the entire response. (GH8482) • Added option to Series.str.split() to return a DataFrame