我有以下代码:
数据的列名称为col_name。
data = pd.csv_read("somedata.csv")
for row in data:
print(row)
这仅打印col_name的列名。为什么不遍历整个列?
答案 0 :(得分:1)
\documentclass{article}
\usepackage[margin=1in]{geometry}% Just for this example
\usepackage[table]{xcolor}
\usepackage{booktabs,collcell,xfp}
\newcommand*{\ang}[2]{#1^\circ}
\newcommand*{\MinNumber}{-0.01}%
\newcommand*{\MaxNumber}{1.2}%
\newcommand*{\MidNumber}{0.8}%
\newcommand{\test}[2]{\ifdim#1pt>\MidNumber pt\textcolor{gray!70}{#1}\else #1\fi}
\newcommand{\ApplyGradient}[2]{\centering %
\edef\x{\noexpand\cellcolor{black!\fpeval{100*(#1-\MinNumber)/(\MaxNumber-\MinNumber)}}}\x\test{#1}
}
\newcolumntype{R}{>{\collectcell\ApplyGradient}p{1.1cm}<{\endcollectcell}}
\newcolumntype{S}{>{\collectcell\ApplyGradient}p{0.6cm}<{\endcollectcell}}
%
\begin{document}
\begin{table}
\centering
\begin{tabular}{
>{\centering}p{1.3cm} |
>{\centering}p{0.9cm} |
*{5}{R}
}
\multicolumn{2}{c}{testing in$\rightarrow$} &
\multicolumn{1}{c}{$\ang{40}$} &
\multicolumn{1}{c}{$\ang{20}$} &
\multicolumn{1}{c}{$\ang{0}$} &
\multicolumn{1}{c}{$-\ang{20}$} &
\multicolumn{1}{c}{$-\ang{40}$} \\
\midrule
& $\ang{40}$ & 0.52 & 0.44 & 0.27 & 0.10 & -0.01 \\
& $\ang{20}$ & 0.47 & 0.49 & 0.35 & 0.19 & 0.07 \\
spider9 & $\ang{0}$ & 0.25 & 0.47 & 0.63 & 0.46 & 0.24 \\
& $-\ang{20}$ & 0.05 & 0.17 & 0.35 & 0.55 & 0.54 \\
& $-\ang{40}$ & 0.0 & 0.05 & 0.21 & 0.47 & 0.77 \\
\midrule
& $\ang{40}$ & 0.75 & 0.69 & 0.40 & 0.17 & 0.04 \\
& $\ang{20}$ & 0.72 & 0.82 & 0.59 & 0.30 & 0.10 \\
gecko7 & $\ang{0}$ & 0.31 & 0.65 & 1.06 & 0.96 & 0.56 \\
& $-\ang{20}$ & 0.16 & 0.45 & 0.86 & 1.18 & 0.98 \\
& $-\ang{40}$ & 0.03 & 0.15 & 0.40 & 0.74 & 0.96 \\
\midrule
& $\ang{40}$ & 1.09 & 0.75 & 0.39 & 0.14 & 0.02 \\
& $\ang{20}$ & 0.54 & 0.55 & 0.33 & 0.15 & 0.04 \\
babyA & $\ang{0}$ & 0.29 & 0.58 & 0.88 & 0.74 & 0.42 \\
& $-\ang{20}$ & 0.18 & 0.47 & 0.85 & 1.09 & 0.71 \\
& $-\ang{40}$ & 0.02 & 0.11 & 0.33 & 0.65 & 0.91 \\
\bottomrule
\end{tabular}
\hspace{4mm}
\begin{tabular}{ S }
0.0 \\ 0.1 \\ 0.2 \\ 0.3 \\ 0.4 \\ 0.5 \\
0.6 \\ 0.7 \\ 0.8 \\ 0.9 \\ 1.0 \\ 1.1 \\
1.2
\end{tabular}
\caption{Robustness of the top learned controllers for different directions in the real world.
The data shows the fitness that the top controllers of three robots in~5 directions (the second column) perform in another directions (the first row).
The fitness value in a cell is averaged over three controller and three repetitions for each controller.
The dark and light color represent the high and low fitness value respectively.}
\end{table}
\end{document}
或
for column in data:
print(data[column])
答案 1 :(得分:0)
for key,value in data.iteritems():
print(key,value)
print()