I am generating an excel file from Python using XlsxWriter.
I'm trying to "layer" formatting depending on the cell value. In pseudocode:
for rowId in rows:
for colId in cols:
value = table.loc[rowId, colId]
if value < 0:
# Make font red
for rowId in rows:
for colId in cols:
value = table.loc[rowId, colId]
if value > 1e6:
# Make bg orange
for rowId in rows:
for colId in cols:
value = table.loc[rowId, colId]
if value is False:
# Make bg purple
In practice I'm finding it hard to layer formatting without either creating a format object for each combination of attributes, or creating a format object per cell.
Any ideas of how this could be achieved?
Related
I'm working with a dataframe of chemical formulas (str objects). Example
formula
Na0.2Cl0.4O0.7Rb1
Hg0.04Mg0.2Ag2O4
Rb0.2AgO
...
I want to filter it out based on specified elements. For example I want to produce an output which only contains the elements 'Na','Cl','Rb' therefore the desired output should result in:
formula
Na0.2Cl0.4O0.7Rb1
What I've tried to do is the following
for i, formula in enumerate(df['formula'])
if ('Na' and 'Cl' and 'Rb' not in formula):
df = df.drop(index=i)
but it seems not to work.
You can use use contains with or condition for multiple string pattern matching for matching only one of them
df[df['formula'].str.contains("Na|Cl|Rb", na=False)]
Or you can use pattern with contains if you want to match all of them
df[df['formula'].str.contains(r'^(?=.*Na)(?=.*Cl)(?=.*Rb)')]
Your requirements are unclear, but assuming you want to filter based on a set of elements.
Keeping formulas where all elements from the set are used:
s = {'Na','Cl','Rb'}
regex = f'({"|".join(s)})'
mask = (
df['formula']
.str.extractall(regex)[0]
.groupby(level=0).nunique().eq(len(s))
)
df.loc[mask[mask].index]
output:
formula
0 Na0.2Cl0.4O0.7Rb1
Keeping formulas where only elements from the set are used:
s = {'Na','Cl','Rb'}
mask = (df['formula']
.str.extractall('([A-Z][a-z]*)')[0]
.isin(s)
.groupby(level=0).all()
)
df[mask]
output: no rows for this dataset
I have written this SQL in PostgreSQL environment:
SELECT
ST_X("Position4326") AS lon,
ST_Y("Position4326") AS lat,
"Values"[4] AS ppe,
"Values"[5] AS speed,
"Date" AS "timestamp",
"SourceId" AS smartphone,
"Track" as session
FROM
"SingleData"
WHERE
"OsmLineId" = 44792088
AND
array_length("Values", 1) > 4
AND
"Values"[5] > 0
ORDER BY smartphone, session;
Now I have imported the result in Matlab and I have six vectors and one cell (because the text from the UUIDs was converted in cell) all of 5710x1 size.
Now I would like convert the text in the cell, in a progressive number, like 1, 2, 3... for each different session code.
In Excel it is easy with FIND.VERT(obj, matrix, col), but I do not know how do it in Matlab.
Now I have a big cell with a lot of codes like:
ff95465f-0593-43cb-b400-7d32942023e1
I would like convert this cell in an array of numbers where at the first occurrence of
ff95465f-0593-43cb-b400-7d32942023e1 -> 1
and so on. And you put 2 when a different code appear, and so on.
OK, I have solve.
I put the single session code in a second cell C.
At this point, with a for loop, I obtain:
%% Converting of the UUIDs into integer
C = unique(session);
N = length(session);
session2 = zeros(N, 1);
for i = 1:N
session2(i) = find(strcmp(C, session(i)));
end
Thanks to all!
So I'm writing a short programme in net logo where I want to color code my turtles based on a variable that they own view which varies between -1 and 1. I tried using color-scale in netlogo to define the colour, but it doesn't do quite what I want.
I wrote this to describe what I want, but netlogo seems to be getting confused when I pass the col variable to the set color command.
to colorise;;------------------------------------------------------------
; this changes the agent's colour based on their current [view] score.
; We could use the color-scale in netlogo, but it only works for one colour
; and it's easy to end up with a colour so dark we can't see it against black patches.
moderate ; resets any agents which have somehow ended up with a view score outside -1 to +1
ifelse view > 0
[ let col ( 1 - view )
set col col * 255
set color [ 255 col col ]
]
[ let col ( 1 + view )
set col col * 255
set color [ col col 255 ]
]
end
does anyone have any ideas?
Thanks!
Will
Assuming you have correctly limited the range of view, you will just run into a list creation problem: you cannot use the bracket notation with variables. Instead try
set color (list col col 255)
etc
I am using LazyHighCharts in rails 3. My requirement is to show different color in a column.
when i use
series = {
:type=> 'bar',
:name=> [],
:data=> #rooms,
:color=> 'pink'
}
it displays whole column in pink color. Suppose i have 5 rows in a column and i want to show first row in pink color and the rest four row in green color. can anyone suggest me solution for this.
thnks
i don't know if you have resolved this issue, but this is how i resolved it.
#Controller before set data to the series option
data = []
your_array.each do |t|
data << {:y=>t.value, :color=>"#"+("%06x" % (rand * 0xffffff))}
end
then set data to series option
f.series({:name=>"Subcurso", :data=>data} )
Is there a way to specify the width of individual columns in a matplotlib table?
The first column in my table contains just 2-3 digit IDs, and I'd like this column to be smaller than the others, but I can't seem to get it to work.
Let's say I have a table like this:
import matplotlib.pyplot as plt
fig = plt.figure()
table_ax = fig.add_subplot(1,1,1)
table_content = [["1", "Daisy", "ill"],
["2", "Topsy", "healthy"]]
table_header = ('ID', 'Name','Status')
the_table = table_ax.table(cellText=table_content, loc='center', colLabels=table_header, cellLoc='left')
fig.show()
(Never mind the weird cropping, it doesn't happen in my real table.)
What I've tried is this:
prop = the_table.properties()
cells = prop['child_artists']
for cell in cells:
text = cell.get_text()
if text == "ID":
cell.set_width(0.1)
else:
try:
int(text)
cell.set_width(0.1)
except TypeError:
pass
The above code seems to have zero effect - the columns are still all equally wide. (cell.get_width() returns 0.3333333333, so I would think that width is indeed cell-width... so what am I doing wrong?
Any help would be appreciated!
I've been searching the web over and over again looking for similar probelm sollutions. I've found some answers and used them, but I didn't find them quite straight forward. By chance I just found the table method get_celld when simply trying different table methods.
By using it you get a dictionary where the keys are tuples corresponding to table coordinates in terms of cell position. So by writing
cellDict=the_table.get_celld()
cellDict[(0,0)].set_width(0.1)
you will simply adress the upper left cell. Now looping over rows or columns will be fairly easy.
A bit late answer, but hopefully others may be helped.
Just for completion. The column header starts with (0,0) ... (0, n-1). The row header starts with (1,-1) ... (n,-1).
---------------------------------------------
| ColumnHeader (0,0) | ColumnHeader (0,1) |
---------------------------------------------
rowHeader (1,-1) | Value (1,0) | Value (1,1) |
--------------------------------------------
rowHeader (2,-1) | Value (2,0) | Value (2,1) |
--------------------------------------------
The code:
for key, cell in the_table.get_celld().items():
print (str(key[0])+", "+ str(key[1])+"\t"+str(cell.get_text()))
Condition text=="ID" is always False, since cell.get_text() returns a Text object rather than a string:
for cell in cells:
text = cell.get_text()
print text, text=="ID" # <==== here
if text == "ID":
cell.set_width(0.1)
else:
try:
int(text)
cell.set_width(0.1)
except TypeError:
pass
On the other hand, addressing the cells directly works: try cells[0].set_width(0.5).
EDIT: Text objects have an attribute get_text() themselves, so getting down to a string of a cell can be done like this:
text = cell.get_text().get_text() # yup, looks weird
if text == "ID":