axis-labels

I'm trying to plot a histogram with bar chart, and I'm having difficulties figuring out how to align the x-axis labels with the actual bins. The code below generates the following plot: as you can see, the end of each x-label is not aligned to the center of its bin. The way i'm thinking about this is: when i apply a 45-degree rotation, the label pivots around its geometrical center. I was wondering if it's possible to move the pivot up to the top of the label. (Or simply translate all the labels slightly left.) import matplotlib.pyplot as plt import numpy as np #data np.random.seed(42) data =

I am trying to solve the below issue for last couple of days but still not able to resolve it. I have searched lots of forums but all in vain. * Little bit of history: My code was working well in the devp env but for accessing the production sever I received new URL and three new certificates after successfully including the certificates in new trust store file.I am facing below issue. Please help. 2013-11-25 11:32:30,373 INFO[BuilderUtil] OMException in getSOAPBuilder org.apache.axiom.om.OMException: com.ctc.wstx.exc.WstxUnexpectedCharException: Unexpected character '"' (code 34) in DOCTYPE

I'm trying to draw labels which look informative, clear and tidy. I was following example and raised one more question about label and axis formatting. For example, I have sales data which includes Brand, Categories and Expenditure in EUR. When sum of EUR is big (millions or more) labels look really hard to read and not informative. As a result, x-axis is in Scientific notation and also looks really uncleanly. I've manage to format labels in custom way: it shows Eur in thousands. geom_text(aes(label= paste(round(EUR/1000,0),"€"), y=pos), colour="white") Is there an easier or automated way? As

Edit 2 The current developmental version of the ggplot2-package does solve the bug mentioned in my question below. Install the dev version using devtools::install_github("tidyverse/ggplot2") Edit It seems as the faulty behaviour of sec_axis in ggplot2 3.1.0 is a bug. This has been recognized by the devs and they are working on a fix (see thread on GitHub). Goal I have a graphic where the y-axis ranges from 0 to 1. I'd like to add a secondary y-axis that ranges from 0 to 0.5 (so exactly half the values of the primary y-axis). So far no problem. What complicates the matter is that I have a

I have a pandas DataFrame with two columns: month_of_sale which is a date, and number_of_gizmos_sold which is a number. I'm trying to increase the frequency of the labels on the x-axis so it's easier to read, but I can't! Here is the df.head() of my table: and this is what it plots: df.plot(y='number_of_gizmos_sold', figsize=(15,5)) I'd like to increase the frequency of the labels, because there's a big space in between them. What I've tried plot.xaxis.set_major_locator(MonthLocator()) but that seems to increase the distance between the labels even more. plot.xaxis.set_major_formatter

In multi-panel/faceted plots, I like when it's feasible to squash the panels together with no space between them, e.g. using theme(panel.spacing=grid::unit(0,"lines")) (Edward Tufte says this is good because the inter-panel spaces produce distracting visual effects, as well as wasting data-space, and I've drunk this particular bit of the Kool-Aid.) The problem is that, depending on the precise range of the values within a row/column of facets, the axis labels for neighboring facets can overlap. For example, in this plot there's a collision between the bottom tick label in the top panel and the