<p dir="auto">I read in my dataframe with</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content=" pd.read_csv('df.csv')"><pre class="notranslate"><code class="notranslate"> pd.read_csv('df.csv')
</code></pre></div>
<p dir="auto">And then I run the code:</p>
<div class="snippet-clipboard-content notranslate position-relative overflow-auto" data-snippet-clipboard-copy-content="df['a'] = pd.to_numeric(df['a'], errors='coerce')"><pre class="notranslate"><code class="notranslate">df['a'] = pd.to_numeric(df['a'], errors='coerce')
</code></pre></div>
<p dir="auto">but the column does not get converted. When I use errors = 'raise' it gives me the numbers that are not convertible but it should be dropping them with coerce.... This was working perfectly in Pandas 0.19 and i Updated to 0.20.3. Did the way to_numeric works change between the two versions?</p>
<p dir="auto">scikits.timeseries notions of fill_missing_dates, duplicates possible, etc. Little to no testing in this regard</p>