series

问题 I have these two series: In [48]: serie1 Out[48]: 0 A 1 B 2 C 3 A 4 D In [49]: serie2 Out[49]: 0 X 1 Y 2 A 3 Z 4 A 5 D dtype: object And for each value in serie1 I want to get the index/indexes from serie2. Is this possible without iterating over values? A possible solution would be to build a dataframe more or less like this: A B C D X False False False False Y False False False False A True False False False Z False False False False A True False False False D False False False True ... and

问题 Here I'd like to insert the row "<td class='test'>None</td>" between wherever there are two rows with "href" in the tag--note, each row with href is NOT identical. import pandas as pd table = pd.Series( ["<td class='test'><a class='test' href=...", # 0 "<td class='test'>A</td>", # 1 "<td class='test'><a class='test' href=...", # 2 "<td class='test'>B</td>", # 3 "<td class='test'><a class='test' href=...", # 4 "<td class='test'><a class='test' href=...", # 5 "<td class='test'>C</td>", # 6 "<td

问题 I am messing around with highcharts for a company project and I have the name/number from calculations (totals) being displayed int he legend. The problem is they also display on the graph. I can't for the life of me figure out how to turn them off on the chart, yet leave them on in the legend. I've read through the API and maybe I missed it but could use some help if you all don't mind. Code: Highcharts.chart('high_charts_admin', { title: { text: 'Adset ID: '+results[1].data[0].adset_id, },

问题 I'm attempting to sum the following using the symsum function in MATLAB: sum (from q=0 to 5) [a(q+1)*x(2)^q] where a=[a0, a1, ..., a5], x=[x(1), x(2), ...] where x(1), x(2), ... are scalars. The sum is a0 + a1x(2)+a2x(2)^2 +...+a5x(2)^5. I've used the following code: syms q a x f=a(q+1)*x(2)^q symsum(f, q, 0, 5) where x(2)= -4.9. However, the above code returns "Invalid indexing or function definition". Using f=x(2)^q does not result in the error, however, using f=a(q+1) does return the error

问题 I would like to build somthing like the chart in the sample: barLineAnimated.html. my problem is; i have more then 1 series, which i like to render as bars, and one should be rendered as line. I can't undestand the sample: one the 2 series in the sample will be rendered in different way. How can i set the kind of rendering for the single series? 回答1: Try this inside the jqplot constructor: seriesDefaults : { renderer: $.jqplot.BarRenderer, rendererOptions : { barWidth: 30 } }, series : [{}, {

问题 Given a dict, performances , storing Series of kind: 2015-02-28 NaN 2015-03-02 100.000000 2015-03-03 98.997117 2015-03-04 98.909215 2015-03-05 99.909979 2015-03-06 100.161486 2015-03-09 100.502772 2015-03-10 101.685314 2015-03-11 102.518433 2015-03-12 102.427237 2015-03-13 103.424257 2015-03-16 102.669184 2015-03-17 102.181841 2015-03-18 102.436339 2015-03-19 102.672482 2015-03-20 102.238386 2015-03-23 101.460082 ... I want to group them by month, but only pick the first value which is not np

问题 Given a dict, performances , storing Series of kind: 2015-02-28 NaN 2015-03-02 100.000000 2015-03-03 98.997117 2015-03-04 98.909215 2015-03-05 99.909979 2015-03-06 100.161486 2015-03-09 100.502772 2015-03-10 101.685314 2015-03-11 102.518433 2015-03-12 102.427237 2015-03-13 103.424257 2015-03-16 102.669184 2015-03-17 102.181841 2015-03-18 102.436339 2015-03-19 102.672482 2015-03-20 102.238386 2015-03-23 101.460082 ... I want to group them by month, but only pick the first value which is not np

问题 I want to fill NaN in a df using 'mean' and 'interpolate' depending on at what time of the day the NaN occur. As you can see below, the first NaN occur at 6 am and the second NaN is at 8 am. 02/03/2016 05:00 8 02/03/2016 06:00 NaN 02/03/2016 07:00 1 02/03/2016 08:00 NaN 02/03/2016 09:00 3 My df consists of thousand of days. I want to apply 'ffill' for any NaN occur before 7 am and apply 'interpolate' for those occur after 7 am. My data is from 6 am to 6 pm. My attempt is: df_imputed = (df

问题 I'm trying to write a program which calculates the Taylor series of exp(-x) and exp(x) up to 200 iterations, for large x. (exp(x)=1+x+x^2/2+...). My program is really simple, and it seems like it should work perfectly. However it diverges for exp(-x), but converges just fine for exp(+x). Here is my code so far: long double x = 100.0, sum = 1.0, last = 1.0; for(int i = 1; i < 200; i++) { last *= x / i; //multiply the last term in the series from the previous term by x/n sum += last; //add this

问题 So, I have a problem with my dataframe from dictionary - python actually "names" my rows and columns with numbers. Here's my code: a = dict() dfList = [x for x in df['Marka'].tolist() if str(x) != 'nan'] dfSet = set(dfList) dfList123 = list(dfSet) for i in range(len(dfList123)): number = dfList.count(dfList123[i]) a[dfList123[i]]=number sorted_by_value = sorted(a.items(), key=lambda kv: kv[1], reverse=True) dataframe=pd.DataFrame.from_dict(sorted_by_value) print(dataframe) I've tried to